{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T17:31:22Z","timestamp":1790962282673,"version":"4.1.0"},"reference-count":40,"publisher":"Acoustical Society of America (ASA)","issue":"2","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52275296"],"award-info":[{"award-number":["52275296"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81970897"],"award-info":[{"award-number":["81970897"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Priority Academic Program Development of Jiangsu Higher Education Institutions","award":["none"],"award-info":[{"award-number":["none"]}]},{"name":"the Top-notch Academic Programs Project of Jiangsu Higher Education Institutions","award":["none"],"award-info":[{"award-number":["none"]}]},{"name":"the China Scholarships Council","award":["202306420024"],"award-info":[{"award-number":["202306420024"]}]}],"content-domain":{"domain":["pubs.aip.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,8,1]]},"abstract":"<jats:p>In order to improve the prediction accuracy of the sound quality of vehicle interior noise, a novel sound quality prediction model was proposed based on the physiological response predicted metrics, i.e., loudness, sharpness, and roughness. First, a human-ear sound transmission model was constructed by combining the outer and middle ear finite element model with the cochlear transmission line model. This model converted external input noise into cochlear basilar membrane response. Second, the physiological perception models of loudness, sharpness, and roughness were constructed by transforming the basilar membrane response into sound perception related to neuronal firing. Finally, taking the calculated loudness, sharpness, and roughness of the physiological model and the subjective evaluation values of vehicle interior noise as the parameters, a sound quality prediction model was constructed by TabNet model. The results demonstrate that the loudness, sharpness, and roughness computed by the human-ear physiological model exhibit a stronger correlation with the subjective evaluation of sound quality annoyance compared to traditional psychoacoustic parameters. Furthermore, the average error percentage of sound quality prediction based on the physiological model is only 3.81%, which is lower than that based on traditional psychoacoustic parameters.<\/jats:p>","DOI":"10.1121\/10.0028130","type":"journal-article","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T16:11:43Z","timestamp":1723565503000},"page":"989-1003","update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":7,"title":["Research on sound quality prediction of vehicle interior noise using the human-ear physiological model"],"prefix":"10.1121","volume":"156","author":[{"given":"Yu","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Mechatronic Engineering, China University of Mining and Technology 1 , Xuzhou 221116, People's Republic of China"},{"name":"Auto Engineering Research Institute, BYD Auto Industry Co., LTD 2 , Shenzhen 518118, People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5450-5958","authenticated-orcid":false,"given":"Houguang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Mechatronic Engineering, China University of Mining and Technology 1 , Xuzhou 221116, People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weiwei","family":"Guo","sequence":"additional","affiliation":[{"name":"Key Lab of Hearing Science, Ministry of Education 3 , Beijing 100853, People's Republic of China"},{"name":"College of Otolaryngology Head and Neck Surgery, Chinese PLA General Hospital 4 , Beijing 100853, People's Republic of China"},{"name":"National Clinical Research Center for Otolaryngologic Diseases 5 , Beijing 100853, People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiheng","family":"He","sequence":"additional","affiliation":[{"name":"School of Mechatronic Engineering, China University of Mining and Technology 1 , Xuzhou 221116, People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5389-9142","authenticated-orcid":false,"given":"Jianhua","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Mechatronic Engineering, China University of Mining and Technology 1 , Xuzhou 221116, People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zipeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechatronic Engineering, China University of Mining and Technology 1 , Xuzhou 221116, People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"231","published-online":{"date-parts":[[2024,8,13]]},"reference":[{"key":"2024081320112391200_c1","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.apacoust.2018.05.013","article-title":"HVAC noise control using natural materials to improve vehicle interior sound quality","volume":"140","year":"2018","journal-title":"Appl. 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